| Year |
Citation |
Score |
| 2020 |
Niell BL, Abdalah M, Stringfield O, Raghunand N, Ataya D, Gillies R, Balagurunathan Y. Quantitative measures of background parenchymal enhancement predict breast cancer risk. Ajr. American Journal of Roentgenology. PMID 32876474 DOI: 10.2214/Ajr.20.23804 |
0.318 |
|
| 2020 |
Polk SL, Choi JW, McGettigan MJ, Rose T, Ahmed A, Kim J, Jiang K, Balagurunathan Y, Qi J, Farah PT, Rathi A, Permuth JB, Jeong D. Multiphase computed tomography radiomics of pancreatic intraductal papillary mucinous neoplasms to predict malignancy. World Journal of Gastroenterology. 26: 3458-3471. PMID 32655269 DOI: 10.3748/Wjg.V26.I24.3458 |
0.306 |
|
| 2020 |
Pérez-Morales J, Tunali I, Stringfield O, Eschrich SA, Balagurunathan Y, Gillies RJ, Schabath MB. Peritumoral and intratumoral radiomic features predict survival outcomes among patients diagnosed in lung cancer screening. Scientific Reports. 10: 10528. PMID 32601340 DOI: 10.1038/S41598-020-67378-8 |
0.366 |
|
| 2020 |
Lu H, Parra NA, Qi J, Gage K, Li Q, Fan S, Feuerlein S, Pow-Sang J, Gillies R, Choi JW, Balagurunathan Y. Repeatability of Quantitative Imaging Features in Prostate Magnetic Resonance Imaging. Frontiers in Oncology. 10: 551. PMID 32457827 DOI: 10.3389/Fonc.2020.00551 |
0.384 |
|
| 2020 |
Mukherjee P, Zhou M, Lee E, Schicht A, Balagurunathan Y, Napel S, Gillies R, Wong S, Thieme A, Leung A, Gevaert O. A shallow convolutional neural network predicts prognosis of lung cancer patients in multi-institutional computed tomography image datasets Nature Machine Intelligence. 2: 274-282. DOI: 10.1038/S42256-020-0173-6 |
0.377 |
|
| 2019 |
Li Q, Lu H, Choi J, Gage K, Feuerlein S, Pow-Sang JM, Gillies R, Balagurunathan Y. Radiological semantics discriminate clinically significant grade prostate cancer. Cancer Imaging : the Official Publication of the International Cancer Imaging Society. 19: 81. PMID 31796094 DOI: 10.1186/S40644-019-0272-Y |
0.305 |
|
| 2019 |
Lu H, Mu W, Balagurunathan Y, Qi J, Abdalah MA, Garcia AL, Ye Z, Gillies RJ, Schabath MB. Multi-window CT based Radiomic signatures in differentiating indolent versus aggressive lung cancers in the National Lung Screening Trial: a retrospective study. Cancer Imaging : the Official Publication of the International Cancer Imaging Society. 19: 45. PMID 31253194 DOI: 10.1186/S40644-019-0232-6 |
0.386 |
|
| 2019 |
Balagurunathan Y, Schabath MB, Wang H, Liu Y, Gillies RJ. Quantitative Imaging features Improve Discrimination of Malignancy in Pulmonary nodules. Scientific Reports. 9: 8528. PMID 31189944 DOI: 10.1038/S41598-019-44562-Z |
0.412 |
|
| 2019 |
Morales JP, Tunali I, Stringfield O, Eschrich S, Balagurunathan Y, Gillies R, Schabath M. OA02.08 Peritumoral and Intratumoral Radiomic Features Identify Aggressive Screen-Detected Early-Stage Lung Cancers Journal of Thoracic Oncology. 14. DOI: 10.1016/J.Jtho.2019.09.030 |
0.334 |
|
| 2018 |
Parra AN, Lu H, Li Q, Stoyanova R, Pollack A, Punnen S, Choi J, Abdalah M, Lopez C, Gage K, Park JY, Kosj Y, Pow-Sang JM, Gillies RJ, Balagurunathan Y. Predicting clinically significant prostate cancer using DCE-MRI habitat descriptors. Oncotarget. 9: 37125-37136. PMID 30647849 DOI: 10.18632/Oncotarget.26437 |
0.344 |
|
| 2018 |
Cherezov D, Hawkins SH, Goldgof DB, Hall LO, Liu Y, Li Q, Balagurunathan Y, Gillies RJ, Schabath MB. Delta radiomic features improve prediction for lung cancer incidence: A nested case-control analysis of the National Lung Screening Trial. Cancer Medicine. PMID 30507033 DOI: 10.1002/Cam4.1852 |
0.355 |
|
| 2018 |
Liu Y, Kim J, Balagurunathan Y, Hawkins S, Stringfield O, Schabath MB, Li Q, Qu F, Liu S, Garcia AL, Ye Z, Gillies RJ. Prediction of pathological nodal involvement by CT-based Radiomic features of the primary tumor in patients with clinically node-negative peripheral lung adenocarcinomas. Medical Physics. PMID 29624702 DOI: 10.1002/Mp.12901 |
0.337 |
|
| 2018 |
Lu H, Mu W, Balagurunathan Y, Qi J, Schabath M, Gillies RJ. Abstract B10: Radiomics signatures on the region defined by using multi-window CT to improve detection lung cancer screening Clinical Cancer Research. 24. DOI: 10.1158/1557-3265.Aacriaslc18-B10 |
0.396 |
|
| 2018 |
Mu W, Qi J, Lu H, Schabath M, Balagurunathan Y, Tunali I, Pilon-Thomas S, Gillies RJ. Abstract 3634: PET/CT imaging prediction of response to checkpoint blockade in advanced non-small cell lung cancer patients Cancer Research. 78: 3634-3634. DOI: 10.1158/1538-7445.Am2018-3634 |
0.391 |
|
| 2017 |
Tunali I, Stringfield O, Guvenis A, Wang H, Liu Y, Balagurunathan Y, Lambin P, Gillies RJ, Schabath MB. Radial gradient and radial deviation radiomic features from pre-surgical CT scans are associated with survival among lung adenocarcinoma patients. Oncotarget. 8: 96013-96026. PMID 29221183 DOI: 10.18632/Oncotarget.21629 |
0.399 |
|
| 2017 |
Li Q, Balagurunathan Y, Liu Y, Qi J, Schabath MB, Ye Z, Gillies RJ. Comparison Between Radiological Semantic Features and Lung-RADS in Predicting Malignancy of Screen-Detected Lung Nodules in the National Lung Screening Trial. Clinical Lung Cancer. PMID 29137847 DOI: 10.1016/J.Cllc.2017.10.002 |
0.343 |
|
| 2017 |
Li Q, Kim J, Balagurunathan Y, Qi J, Liu Y, Latifi K, Moros EG, Schabath MB, Ye Z, Gillies RJ, Dilling TJ. CT imaging features associated with recurrence in non-small cell lung cancer patients after stereotactic body radiotherapy. Radiation Oncology (London, England). 12: 158. PMID 28946909 DOI: 10.1186/S13014-017-0892-Y |
0.384 |
|
| 2017 |
Permuth JB, Chen DT, Yoder SJ, Li J, Smith AT, Choi JW, Kim J, Balagurunathan Y, Jiang K, Coppola D, Centeno BA, Klapman J, Hodul P, Karreth FA, Trevino JG, et al. Linc-ing Circulating Long Non-coding RNAs to the Diagnosis and Malignant Prediction of Intraductal Papillary Mucinous Neoplasms of the Pancreas. Scientific Reports. 7: 10484. PMID 28874676 DOI: 10.1038/S41598-017-09754-5 |
0.302 |
|
| 2017 |
Liu Y, Wang H, Li Q, McGettigan MJ, Balagurunathan Y, Garcia AL, Thompson ZJ, Heine JJ, Ye Z, Gillies RJ, Schabath MB. Radiologic Features of Small Pulmonary Nodules and Lung Cancer Risk in the National Lung Screening Trial: A Nested Case-Control Study. Radiology. 161458. PMID 28837413 DOI: 10.1148/Radiol.2017161458 |
0.364 |
|
| 2017 |
Li Q, Kim J, Balagurunathan Y, Liu Y, Latifi K, Stringfield O, Garcia A, Moros EG, Dilling TJ, Schabath MB, Ye Z, Gillies RJ. Imaging features from pre-treatment CT scans are associated with clinical outcomes in non-small-cell lung cancer patients treated with stereotactic body radiotherapy. Medical Physics. PMID 28464316 DOI: 10.1002/Mp.12309 |
0.364 |
|
| 2017 |
Shafiq-Ul-Hassan M, Zhang GG, Latifi K, Ullah G, Hunt DC, Balagurunathan Y, Abdalah MA, Schabath MB, Goldgof DG, Mackin D, Court LE, Gillies RJ, Moros EG. Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels. Medical Physics. PMID 28112418 DOI: 10.1002/Mp.12123 |
0.358 |
|
| 2017 |
Tunali I, Gray J, Abdullah M, Qi J, Balagurunathan Y, Guvenis A, Gillies R, Schabath M. PUB063 Epidemiologic and Radiomic Analysis of Hyperprogressers of Lung Cancer Patients Treated with Immunotherapy Journal of Thoracic Oncology. 12. DOI: 10.1016/J.Jtho.2017.09.1926 |
0.315 |
|
| 2017 |
Cherezov D, Hawkins S, Goldgof D, Hall L, Balagurunathan Y, Gillies R, Schabath M. P1.03-063 Quantitative Imaging Features Predict Incidence Lung Cancer in Low-Dose Computed Tomography (LDCT) Screening Journal of Thoracic Oncology. 12: S582. DOI: 10.1016/J.Jtho.2016.11.735 |
0.382 |
|
| 2017 |
Tunali I, Gray J, Qi J, Abdullah M, Balagurunathan Y, Gillies R, Schabath M. P1.01-041 Quantitative Imaging Features Predict Response of Immunotherapy in Non-Small Cell Lung Cancer Patients: Topic: Prognostic Factors, Treatment Journal of Thoracic Oncology. 12. DOI: 10.1016/J.Jtho.2016.11.565 |
0.378 |
|
| 2016 |
Liu Y, Balagurunathan Y, Atwater T, Antic S, Li Q, Walker RC, Smith G, Massion PP, Schabath MB, Gillies RJ. Radiological Image traits Predictive of Cancer Status in Pulmonary Nodules. Clinical Cancer Research : An Official Journal of the American Association For Cancer Research. PMID 27663588 DOI: 10.1158/1078-0432.Ccr-15-3102 |
0.342 |
|
| 2016 |
Schabath MB, Massion PP, Thompson ZJ, Eschrich SA, Balagurunathan Y, Goldof D, Aberle DR, Gillies RJ. Differences in Patient Outcomes of Prevalence, Interval, and Screen-Detected Lung Cancers in the CT Arm of the National Lung Screening Trial. Plos One. 11: e0159880. PMID 27509046 DOI: 10.1371/Journal.Pone.0159880 |
0.341 |
|
| 2016 |
Hawkins S, Wang H, Liu Y, Garcia A, Stringfield O, Krewer H, Li Q, Cherezov D, Gatenby RA, Balagurunathan Y, Goldgof D, Schabath MB, Hall L, Gillies RJ. Predicting malignant nodules from screening CTs. Journal of Thoracic Oncology : Official Publication of the International Association For the Study of Lung Cancer. PMID 27422797 DOI: 10.1016/J.Jtho.2016.07.002 |
0.351 |
|
| 2016 |
Liu Y, Kim J, Balagurunathan Y, Li Q, Garcia AL, Stringfield O, Ye Z, Gillies RJ. Radiomic Features Are Associated With EGFR Mutation Status in Lung Adenocarcinomas. Clinical Lung Cancer. PMID 27017476 DOI: 10.1016/J.Cllc.2016.02.001 |
0.315 |
|
| 2016 |
Liu Y, Kim J, Qu F, Liu S, Wang H, Balagurunathan Y, Ye Z, Gillies RJ. CT Features Associated with Epidermal Growth Factor Receptor Mutation Status in Patients with Lung Adenocarcinoma. Radiology. 151455. PMID 26937803 DOI: 10.1148/Radiol.2016151455 |
0.306 |
|
| 2016 |
Geiger B, Hawkins SH, Hall LO, Goldgof DB, Balagurunathan Y, Gatenby RA, Gillies RJ. Change descriptors for determining nodule malignancy in national lung screening trial CT screening images Proceedings of Spie. 9785: 978535. DOI: 10.1117/12.2217444 |
0.4 |
|
| 2016 |
Li Q, Balagurunathan Y, Liu Y, Schabath MB, Gillies RJ. Performance comparison of quantitative semantic features and lung-RADS in the National Lung Screening Trial Proceedings of Spie. 9787. DOI: 10.1117/12.2216948 |
0.395 |
|
| 2016 |
Liu Y, Balagurunathan Y, Atwater T, Antic S, Li Q, Walker R, Smith GT, Massion PP, Schabath MB, Gillies RJ. Quantitative imaging features to predict cancer status in lung nodules Proceedings of Spie. 9787. DOI: 10.1117/12.2216809 |
0.423 |
|
| 2016 |
Schabath MB, Liu Y, Wang H, Stringfield O, Balagurunathan Y, Garcia A, Hall L, Goldgof D, Gillies RJ. Diagnostic and predictive quantitative-imaging features in lung cancer screening Journal of Thoracic Oncology. 11: S41-S42. DOI: 10.1016/J.Jtho.2015.12.070 |
0.393 |
|
| 2015 |
Wang H, Schabath MB, Liu Y, Stringfield O, Balagurunathan Y, Heine JJ, Eschrich SA, Ye Z, Gillies RJ. Association Between Computed Tomographic Features and Kirsten Rat Sarcoma Viral Oncogene Mutations in Patients With Stage I Lung Adenocarcinoma and Their Prognostic Value. Clinical Lung Cancer. PMID 26712103 DOI: 10.1016/J.Cllc.2015.11.002 |
0.307 |
|
| 2015 |
Grove O, Berglund AE, Schabath MB, Aerts HJ, Dekker A, Wang H, Velazquez ER, Lambin P, Gu Y, Balagurunathan Y, Eikman E, Gatenby RA, Eschrich S, Gillies RJ. Quantitative computed tomographic descriptors associate tumor shape complexity and intratumor heterogeneity with prognosis in lung adenocarcinoma. Plos One. 10: e0118261. PMID 25739030 DOI: 10.1371/Journal.Pone.0118261 |
0.392 |
|
| 2014 |
Budzevich M, Grove O, Balagurunathan Y, Gu Y, Wang H, Oliver J, Latifi K, Zhang G, Dilling T, Gillies R, Moros E, Lee H. SU-E-QI-16: Reproducibility of Computed Tomography Quantitative Structural Features Using the FDA Thoracic Phantom Image Database. Medical Physics. 41: 380. PMID 28037790 DOI: 10.1118/1.4888996 |
0.35 |
|
| 2014 |
Oliver J, Budzevich M, Zhang G, Latifi K, Dilling T, Balagurunathan Y, Gu Y, Grove O, Feygelman V, Gillies R, Moros E, Lee H. SU-E-QI-17: Dependence of 3D/4D PET Quantitative Image Features On Noise. Medical Physics. 41: 380. PMID 28037337 DOI: 10.1118/1.4888997 |
0.322 |
|
| 2014 |
Balagurunathan Y, Kumar V, Gu Y, Kim J, Wang H, Liu Y, Goldgof DB, Hall LO, Korn R, Zhao B, Schwartz LH, Basu S, Eschrich S, Gatenby RA, Gillies RJ. Test-retest reproducibility analysis of lung CT image features. Journal of Digital Imaging. 27: 805-23. PMID 24990346 DOI: 10.1007/S10278-014-9716-X |
0.419 |
|
| 2014 |
Balagurunathan Y, Gu Y, Wang H, Kumar V, Grove O, Hawkins S, Kim J, Goldgof DB, Hall LO, Gatenby RA, Gillies RJ. Reproducibility and Prognosis of Quantitative Features Extracted from CT Images. Translational Oncology. 7: 72-87. PMID 24772210 DOI: 10.1593/Tlo.13844 |
0.429 |
|
| 2014 |
Schabath MB, Massion PP, Thompson ZJ, Balagurunathan Y, Goldof D, Eschrich SA, Gillies RJ. Abstract 3250: Survival of patients with incident lung cancer following screening by computed tomography in the National Lung Screening Trial Cancer Research. 74: 3250-3250. DOI: 10.1158/1538-7445.Am2014-3250 |
0.349 |
|
| 2014 |
Hawkins SH, Korecki JN, Balagurunathan Y, Gu Y, Kumar V, Basu S, Hall LO, Goldgof DB, Gatenby RA, Gillies RJ. Predicting outcomes of nonsmall cell lung cancer using CT image features Ieee Access. 2: 1418-1426. DOI: 10.1109/Access.2014.2373335 |
0.407 |
|
| 2012 |
Kumar V, Gu Y, Basu S, Berglund A, Eschrich SA, Schabath MB, Forster K, Aerts HJ, Dekker A, Fenstermacher D, Goldgof DB, Hall LO, Lambin P, Balagurunathan Y, Gatenby RA, et al. Radiomics: the process and the challenges. Magnetic Resonance Imaging. 30: 1234-48. PMID 22898692 DOI: 10.1016/J.Mri.2012.06.010 |
0.382 |
|
| 2011 |
Balagurunathan Y, Dougherty ER, Frančišković-Bilinski S, Bilinski H, Vdović N. MORPHOLOGICAL GRANULOMETRIC ANALYSIS OF SEDIMENT IMAGES Image Analysis & Stereology. 20: 87. DOI: 10.5566/Ias.V20.P87-99 |
0.47 |
|
| 2010 |
Morse DL, Hostetter G, Balagurunathan Y, Gillies RJ, Han H. Identification of pancreatic cancer-specific cell-surface markers for development of targeting ligands. Methods in Molecular Biology (Clifton, N.J.). 624: 195-210. PMID 20217597 DOI: 10.1007/978-1-60761-609-2_13 |
0.32 |
|
| 2010 |
Getz J, Anderson E, Balagurunathan Y, Black M, Hedenfalk I, Willis A, Ramos P, Mancini C, Cunliffe H. Abstract P2-09-23: Investigating VAV3 Expression as a Novel Biomarker and Indicator of Chemosensitivity in Basal-Like Breast Cancer Cancer Research. 70. DOI: 10.1158/0008-5472.Sabcs10-P2-09-23 |
0.31 |
|
| 2008 |
Balagurunathan Y, Morse DL, Hostetter G, Shanmugam V, Stafford P, Shack S, Pearson J, Trissal M, Demeure MJ, Von Hoff DD, Hruby VJ, Gillies RJ, Han H. Gene expression profiling-based identification of cell-surface targets for developing multimeric ligands in pancreatic cancer. Molecular Cancer Therapeutics. 7: 3071-80. PMID 18765825 DOI: 10.1158/1535-7163.Mct-08-0402 |
0.305 |
|
| 2007 |
Johnson CD, Balagurunathan Y, Dougherty ER, Afshari CA, He Q, Ramos KS. Insight into redox-regulated gene networks in vascular cells. Bioinformation. 1: 379-83. PMID 17597926 DOI: 10.6026/97320630001379 |
0.447 |
|
| 2006 |
Hua J, Balagurunathan Y, Chen Y, Lowey J, Bittner ML, Xiong Z, Suh E, Dougherty ER. Normalization benefits microarray-based classification. Eurasip Journal On Bioinformatics & Systems Biology. 43056. PMID 18427588 DOI: 10.1155/Bsb/2006/43056 |
0.497 |
|
| 2004 |
Balagurunathan Y, Wang N, Dougherty ER, Nguyen D, Chen Y, Bittner ML, Trent J, Carroll R. Noise factor analysis for cDNA microarrays. Journal of Biomedical Optics. 9: 663-78. PMID 15250753 DOI: 10.1117/1.1755232 |
0.468 |
|
| 2004 |
Johnson CD, Balagurunathan Y, Tadesse MG, Falahatpisheh MH, Brun M, Walker MK, Dougherty ER, Ramos KS. Unraveling gene-gene interactions regulated by ligands of the aryl hydrocarbon receptor. Environmental Health Perspectives. 112: 403-12. PMID 15033587 DOI: 10.1289/Ehp.6758 |
0.44 |
|
| 2003 |
Johnson CD, Balagurunathan Y, Lu KP, Tadesse M, Falahatpisheh MH, Carroll RJ, Dougherty ER, Afshari CA, Ramos KS. Genomic profiles and predictive biological networks in oxidant-induced atherogenesis. Physiological Genomics. 13: 263-75. PMID 12657712 DOI: 10.1152/Physiolgenomics.00006.2003 |
0.449 |
|
| 2003 |
Balagurunathan Y, Dougherty ER. Morphological quantification of surface roughness Optical Engineering. 42: 1795-1804. DOI: 10.1117/1.1570825 |
0.489 |
|
| 2003 |
Franciskovic-Bilinski S, Bilinski H, Vdović N, Balagurunathan Y, Dougherty ER. Application of image-based granulometry to siliceous and calcareous estuarine and marine sediments Estuarine, Coastal and Shelf Science. 58: 227-239. DOI: 10.1016/S0272-7714(03)00074-X |
0.478 |
|
| 2003 |
Balagurunathan Y, Dougherty ER. Granulometric parametric estimation for the random Boolean model using optimal linear filters and optimal structuring elements Pattern Recognition Letters. 24: 283-293. DOI: 10.1016/S0167-8655(02)00242-8 |
0.459 |
|
| 2002 |
Balagurunathan Y, Dougherty ER, Chen Y, Bittner ML, Trent JM. Simulation of cDNA microarrays via a parameterized random signal model. Journal of Biomedical Optics. 7: 507-23. PMID 12175304 DOI: 10.1117/1.1486246 |
0.481 |
|
| 2002 |
Brun M, Balagurunathan Y, Barrera J, Dougherty ER. Clustering granulometric features Proceedings of Spie - the International Society For Optical Engineering. 4667: 36-42. DOI: 10.1117/12.468006 |
0.493 |
|
| 2002 |
Balagurunathan Y, Hashimoto RF, Kim S, Barrera J, Dougherty ER. Granulometric classifiers from small samples Proceedings of Spie - the International Society For Optical Engineering. 4667: 100-107. DOI: 10.1117/12.467971 |
0.604 |
|
| 2002 |
Balagurunathan Y, Dougherty ER. Optimal linear granulometric estimation for random sets Pattern Recognition. 35: 1315-1325. DOI: 10.1016/S0031-3203(01)00113-3 |
0.473 |
|
| 2001 |
Balagurunathan Y, Dougherty ER, Chen Y, Bitter ML, Trent JM. A random signal model for cDNA microarrays Proceedings of Spie - the International Society For Optical Engineering. 4266: 163-170. DOI: 10.1117/12.427985 |
0.357 |
|
| 2001 |
Sivakumar K, Balagurunathan Y, Dougherty ER. Asymptotic joint normality of the granulometric moments Pattern Recognition Letters. 22: 1537-1543. DOI: 10.1016/S0167-8655(01)00101-5 |
0.479 |
|
| 2000 |
Sivakumar K, Patel MJ, Kehtarnavaz N, Balagurunathan Y, Dougherty ER. A constant-time algorithm for erosions/dilations with applications to morphological texture feature computation Real-Time Imaging. 6: 223-239. DOI: 10.1006/Rtim.1999.0172 |
0.462 |
|
| 2000 |
Balagurunathan Y, Dougherty ER. Estimation of random-model parameters via linear systems with granulometric inputs Proceedings of Spie - the International Society For Optical Engineering. 4121: 11-15. |
0.367 |
|
| 1998 |
Balagurunathan Y, Dougherty ER. Morphological measurement of surface roughness Proceedings of Spie - the International Society For Optical Engineering. 3521: 95-103. DOI: 10.1117/12.326949 |
0.332 |
|
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